Director, Digital Transformation

Hermeus•Los Angeles, CA

1d•Onsite

About The Position

Hermeus is a venture-backed defense aviation company focused on rapid iterative prototyping to build the fastest aircraft in the world. They aim to provide high-speed systems at the pace of the modern battlefield and deliver high-speed capabilities to the U.S. Department of War and its allies. The company is seeking a Director, Digital Transformation to lead the strategy, ownership, and evolution of digital platforms and capabilities supporting engineering, manufacturing, and enterprise operations. This role will oversee the integration of core systems like PLM, ERP, MES, Enterprise Integrations, Data/BI, and Automation to enhance product design, manufacturing, and scaling. The position is crucial for driving an integrated digital thread across various departments and ensuring system scalability as the company grows. The ideal candidate will possess strong expertise in enterprise systems and architecture, coupled with a deep understanding of engineering and manufacturing workflows.

Requirements

Bachelor’s degree in Engineering, Computer Science, Information Systems, or a related technical discipline, or equivalent professional experience.
10+ years of experience across digital transformation, enterprise systems, engineering/manufacturing systems, enterprise architecture, or related disciplines.
Demonstrated experience leading complex digital transformation initiatives within engineering, manufacturing, product development, or similarly technical environments.
Strong understanding of enterprise systems and digital ecosystems, including PLM, ERP, MES, integrations, data, analytics, and enterprise architecture.
Experience designing and improving cross-system business processes, digital workflows, system integrations, APIs, data models, and system-of-record strategies.
Proven ability to translate ambiguous operational challenges into scalable processes, technical requirements, architectures, roadmaps, and execution plans.
Demonstrated experience leading technical teams and complex cross-functional initiatives, with strong executive communication, stakeholder management, and vendor/implementation partner management skills.

Nice To Haves

Experience in aerospace, defense, automotive, advanced manufacturing, or another complex hardware/product-development environment.
Experience with Siemens Teamcenter/NX or comparable PLM/CAD platforms and NetSuite, SAP, Oracle, or Dynamics or comparable ERP platforms.
Strong understanding of engineering and manufacturing processes, including eBOM/mBOM, Manufacturing Planning, production execution, and quality.
Experience designing digital-thread architectures spanning PLM, ERP, MES, enterprise integrations, data, and analytics.
Experience building or leading enterprise integration, automation, BI, operational analytics, or modern data-platform capabilities.
Practical experience applying AI, agents, or intelligent automation to engineering, manufacturing, or enterprise workflows in a high-growth environment.

Responsibilities

Own the strategy, roadmap, and overall effectiveness of the Company’s core digital platforms, including PLM, ERP, MES, data/BI Automation, and related enterprise applications.
Lead the company’s digital transformation agenda, identifying and executing high-impact opportunities to simplify processes, reduce manual work, improve data flow, and increase scalability and collaboration across Engineering, Manufacturing, Supply Chain, Quality, and Finance through process redesign, automation, AI, and emerging technologies.
Define and advance an integrated digital thread across the product lifecycle, establish clear systems of record, data ownership, enterprise architecture, integration patterns, and end-to-end information flows.
Partner with leaders across the organization to improve critical workflows including product definition, configuration and change management, procurement readiness, manufacturing planning, production execution, and quality.
Lead complex transformation initiatives from problem definition and future-state design through architecture, implementation, adoption, and measurable business outcomes.
Build and lead the teams, operating model, governance, and strategic partnerships required to deliver and scale these capabilities, including technology and AI evaluation, vendor management, prioritization, accountability, and executive communication.